Tue April 1, 2025 4:00 pm
CUA Seminar: Robert Huang – Quantum advantage in learning and sensing
Location:Harvard Ory Forum (301 A/B) in the Goel Building (60 Oxford)
Hsin-Yuan Huang, Caltech
Ten Minute Talk:"Quantifying Quantum Ergodicity from Hamiltonian Learning" by
Nik Gjonbalaj ,
Harvard
Quantum technology has the potential to revolutionize how we learn about the physical world. Quantum AI agents with access to the full suite of quantum technology—quantum sensors, quantum memory, and quantum computers—can achieve significant advantages over classical AI agents using conventional technologies. This talk examines our current understanding of these quantum advantages, which has primarily focused on learning many-body quantum systems, exploring both the remarkable capabilities (
https://arxiv.org/abs/2112.00778) and fundamental limitations (
https://arxiv.org/abs/2407.07754) of quantum agents. To broaden the impact of quantum AI agents, we must extend these capabilities to classical sensing and learning tasks. Specifically, I will present our recent work (
https://arxiv.org/abs/2501.07625) developing a quantum computing-enhanced protocol for a fundamental sensing problem: detecting oscillating classical fields. In the strong field and large bandwidth regime, our approach achieves a beyond-quadratic advantage in sensing time. This research illuminates the potential for quantum AI to enhance our learning and sensing capabilities in the classical world.
This talk includes joint work with Michael Broughton, Jarrod McClean, Jordan Cotler, Sitan Chen, Jerry Li, Thomas Schuster, Jonas Haferkamp, Richard Allen, Francisco Machado, Isaac Chuang, and Soonwon Choi.